Revisiting image-based quality evaluation of laser cut edges
Masoud Kardan, Nikita Levichev, Alberto Tomás García, Joost R. Duflou
download PDFAbstract. The optimization of laser cutting process parameters relies on productivity and obtained edge quality. Whereas maximizing cutting speed is a default procedure to increase the process performance, quality assessment of a cut edge is a non-trivial task. Both contact-based and image-based approaches can be used to quantify the quality of a cut surface. Since contact-based techniques are time-consuming and typically require expert knowledge, the development of simple and fast image-based approaches could improve the performance of sheet metal workshops. Due to the numerous quality characteristics that have to be considered, a significant challenge remains to establish a versatile approach for image-based quality evaluation. Within this paper, the quality assessment of laser cut edges by means of image processing techniques is analyzed. Additionally, the potential for employing visual evaluation to assess all quality indicators in a comprehensive measuring strategy is explored. Finally, the role of the presented approaches in shifting toward intelligent manufacturing is briefly discussed.
Keywords
Laser, Cutting, Quality Evaluation
Published online 3/17/2023, 8 pages
Copyright © 2023 by the author(s)
Published under license by Materials Research Forum LLC., Millersville PA, USA
Citation: Masoud Kardan, Nikita Levichev, Alberto Tomás García, Joost R. Duflou, Revisiting image-based quality evaluation of laser cut edges, Materials Research Proceedings, Vol. 25, pp 363-370, 2023
DOI: https://doi.org/10.21741/9781644902417-45
The article was published as article 45 of the book Sheet Metal 2023
Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
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